{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:00:49Z","timestamp":1760709649283},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2018,6,25]],"date-time":"2018-06-25T00:00:00Z","timestamp":1529884800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["No. NRF-2016R1A2B4015873"],"award-info":[{"award-number":["No. NRF-2016R1A2B4015873"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Inf Syst"],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1007\/s10844-018-0514-7","type":"journal-article","created":{"date-parts":[[2018,6,25]],"date-time":"2018-06-25T11:08:18Z","timestamp":1529924898000},"page":"337-365","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Reliable TF-based recommender system for capturing complex correlations among contexts"],"prefix":"10.1007","volume":"52","author":[{"given":"Byungkook","family":"Oh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sangjin","family":"Shin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sungkwang","family":"Eom","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jooik","family":"Jung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minjae","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seungmin","family":"Seo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyong-Ho","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,25]]},"reference":[{"key":"514_CR1","doi-asserted-by":"crossref","unstructured":"Banerjee, J., Raravi, G., Gupta, M., Ernala, S.K., Kunde, S., Dasgupta, K. (2016). CAPReS: context aware persona based recommendation for shoppers. In Proceedings of the thirtieth AAAI conference on artificial intelligence, AAAI\u201916 (pp. 680\u2013686).","DOI":"10.1609\/aaai.v30i1.10070"},{"key":"514_CR2","unstructured":"Bennett, J., & Lanning, S. (2007). The Netflix prize. In Proceedings of the KDD cup and workshop."},{"key":"514_CR3","doi-asserted-by":"crossref","unstructured":"Chen, C., Zheng, X., Wang, Y., Hong, F., Chen, D. (2016). Capturing semantic correlation for item recommendation in tagging systems. In Proceedings of the thirtieth AAAI conference on artificial intelligence, AAAI\u201916 (pp. 108\u2013114).","DOI":"10.1609\/aaai.v30i1.9978"},{"issue":"9","key":"514_CR4","doi-asserted-by":"publisher","first-page":"106","DOI":"10.4156\/jdcta.vol4.issue9.13","volume":"4","author":"Z Chen","year":"2010","unstructured":"Chen, Z., Jiang, Y., Zhao, Y. (2010). A collaborative filtering recommendation algorithm based on user interest change and trust Evaluation. Journal of Digital Content Technology and its Applications, 4(9), 106\u2013113.","journal-title":"Journal of Digital Content Technology and its Applications"},{"issue":"2","key":"514_CR5","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s10844-016-0400-0","volume":"47","author":"I Christensen","year":"2016","unstructured":"Christensen, I., Schiaffino, S., Armentano, M. (2016). Social group recommendation in the tourism domain. Journal of Intelligent Information Systems, 47 (2), 209\u2013231.","journal-title":"Journal of Intelligent Information Systems"},{"issue":"1","key":"514_CR6","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1145\/963770.963776","volume":"22","author":"M Deshpande","year":"2004","unstructured":"Deshpande, M., & Karypis, G. (2004). Item-based top-n recommendation algorithms. ACM Transactions on Information Systems, 22(1), 143\u2013177.","journal-title":"ACM Transactions on Information Systems"},{"key":"514_CR7","doi-asserted-by":"crossref","unstructured":"Drumond, L., Rendle, S., Schmidt-Thieme, L. (2012). Predicting RDF triples in incomplete knowledge bases with tensor factorization. In Proceedings of the 27th annual ACM symposium on applied computing, SAC\u201912 (pp. 326\u2013331).","DOI":"10.1145\/2245276.2245341"},{"issue":"4","key":"514_CR8","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1145\/2827872","volume":"5","author":"FM Harper","year":"2015","unstructured":"Harper, F.M., & Konstan, J.A. (2015). The MovieLens datasets: history and context. ACM Transactions on Interactive Intelligent Systems, 5(4), 19.","journal-title":"ACM Transactions on Interactive Intelligent Systems"},{"key":"514_CR9","doi-asserted-by":"crossref","unstructured":"Jamali, M., & Lakshmanan, L. (2013). Heteromf: recommendation in heterogeneous information networks using context dependent factor models. In Proceedings of the 22nd international conference on World Wide Web, WWW\u201913 (pp. 643\u2013654).","DOI":"10.1145\/2488388.2488445"},{"key":"514_CR10","doi-asserted-by":"crossref","unstructured":"Karatzoglou, A., Amatriain, X., Baltrunas, L., Oliver, N. (2010). Multiverse recommendation: N-dimensional tensor factorization for context-aware collaborative filtering. In Proceedings of the fourth ACM conference on recommender systems, RecSys\u201910 (pp. 79\u201386).","DOI":"10.1145\/1864708.1864727"},{"issue":"8","key":"514_CR11","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C. (2009). Matrix factorization techniques for recommender systems. Computer, 42(8), 30\u201337.","journal-title":"Computer"},{"key":"514_CR12","doi-asserted-by":"crossref","unstructured":"Liu, X., & Wu, W. (2015). Learning context-aware latent representations for context-aware collaborative filtering. In Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval (pp. 887\u2013890).","DOI":"10.1145\/2766462.2767775"},{"key":"514_CR13","doi-asserted-by":"crossref","unstructured":"Liu, Q., Wu, S., Wang, L. (2015a). COT: contextual operating tensor for context-aware recommender systems. In Proceedings of the twenty-ninth AAAI conference on artificial intelligence, AAAI\u201915 (pp. 203\u2013209).","DOI":"10.1609\/aaai.v29i1.9158"},{"key":"514_CR14","doi-asserted-by":"crossref","unstructured":"Liu, Q., Wu, S., Wang, L. (2015b). Collaborative prediction for multi-entity interaction with hierarchical representation. In Proceedings of the 24th ACM international on conference on information and knowledge management, CIKM\u201915 (pp. 613\u2013622).","DOI":"10.1145\/2806416.2806530"},{"key":"514_CR15","doi-asserted-by":"crossref","unstructured":"Liu, L., Tan, P., Liu, X. (2015c). Mf-tree: matrix factorization tree for large multi-class learning. In Proceedings of the 24th ACM international on conference on information and knowledge management, CIKM\u201915 (pp. 881\u2013890).","DOI":"10.1145\/2806416.2806540"},{"key":"514_CR16","doi-asserted-by":"crossref","unstructured":"Ma, H., Yang, H., Lyu, M.R., King, I. (2008). Sorec: social recommendation using probabilistic matrix factorization. In Proceedings of the 24th ACM international on conference on information and knowledge management, CIKM\u201908 (pp. 931\u2013940).","DOI":"10.1145\/1458082.1458205"},{"key":"514_CR17","doi-asserted-by":"crossref","unstructured":"Man, T., Shen, H., Huang, J., Cheng, X. (2015). Context-adaptive matrix factorization for multi-context recommendation. In Proceedings of the 24th ACM international on conference on information and knowledge management, CIKM\u201915 (pp. 901\u2013910).","DOI":"10.1145\/2806416.2806503"},{"key":"514_CR18","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J. (2013). Efficient estimation of word representations in vector space. arXiv: 1301.3781 ."},{"key":"514_CR19","doi-asserted-by":"crossref","unstructured":"Nguyen, T.V., Karatzoglou, A., Baltrunas, L. (2014). Gaussian process factorization machines for context-aware recommendations. In Proceedings of the 37th international ACM SIGIR conference on Research and development in information retrieval (pp. 63\u201372).","DOI":"10.1145\/2600428.2609623"},{"key":"514_CR20","unstructured":"Nickel, M., Tresp, V., Kriegel, H.P. (2011). A three-way model for collective learning on multi-relational data. In Proceedings of the 28th international conference on machine learning, ICML\u201911 (pp. 809\u2013816)."},{"key":"514_CR21","doi-asserted-by":"crossref","unstructured":"Nickel, M., Tresp, V., Kriegel, H.P. (2012). Factorizing YAGO: scalable machine learning for linked data. In Proceedings of the 21st international conference on World Wide Web, WWW\u201912 (pp. 271\u2013280).","DOI":"10.1145\/2187836.2187874"},{"issue":"2","key":"514_CR22","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1145\/2814710.2814718","volume":"44","author":"C Niederee","year":"2015","unstructured":"Niederee, C., Kanhabua, N., Gallo, F., Logie, R.H. (2015). Forgetful digital memory: Towards brain-inspired long-term data and information management. ACM SIGMOD Record, 44(2), 41\u201346.","journal-title":"ACM SIGMOD Record"},{"key":"514_CR23","doi-asserted-by":"crossref","unstructured":"Ono, C., Takishima, Y., Motomura, Y., Asoh, H. (2009). Context-aware preference model based on a study of difference between real and supposed situation data. In International Conference on User Modeling, Adaptation, and Personalization, UMAP\u201909 (pp. 102\u2013113).","DOI":"10.1007\/978-3-642-02247-0_12"},{"key":"514_CR24","unstructured":"Pennock, D.M., Horvitz, E., Lawrence, S., Giles, C.L. (2000). Collaborative filtering by personality diagnosis: a hybrid memory-and model-based approach. In Proceedings of the sixteenth conference on uncertainty in artificial intelligence, UAI\u201900 (pp. 473\u2013480)."},{"key":"514_CR25","doi-asserted-by":"crossref","unstructured":"Ramirez-Garcia, X., & Garc\u00eda-Valdez, M. (2014). Post-filtering for a restaurant context-aware recommender system. In Recent advances on hybrid approaches for designing intelligent systems (pp. 695\u2013707).","DOI":"10.1007\/978-3-319-05170-3_49"},{"issue":"3","key":"514_CR26","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1145\/2168752.2168771","volume":"3","author":"S Rendle","year":"2012","unstructured":"Rendle, S. (2012). Factorization machines with libFM. ACM Transactions on Intelligent Systems and Technology, 3(3), 57.","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"key":"514_CR27","doi-asserted-by":"crossref","unstructured":"Rendle, S., Gantner, Z., Freudenthaler, C., Schmidt-Thieme, L. (2011). Fast context-aware recommendations with factorization machines. In Proceedings of the 34th international ACM SIGIR conference on Research and development in information retrieval (pp. 635\u2013644).","DOI":"10.1145\/2009916.2010002"},{"key":"514_CR28","doi-asserted-by":"crossref","unstructured":"Salakhutdinov, R., & Mnih, A. (2008). Bayesian probabilistic matrix factorization using markov chain monte carlo. In Proceedings of the 25th international conference on Machine learning, ICML\u201908 (pp. 880\u2013887).","DOI":"10.1145\/1390156.1390267"},{"key":"514_CR29","doi-asserted-by":"crossref","unstructured":"Shi, Y., Karatzoglou, A., Baltrunas, L., Larson, M., Hanjalic, A. (2014). Cars2: learning context-aware representations for context-aware recommendations. In Proceedings of the 23rd ACM international conference on conference on information and knowledge management, CIKM\u201914 (pp. 291\u2013300).","DOI":"10.1145\/2661829.2662070"},{"key":"514_CR30","doi-asserted-by":"crossref","unstructured":"Singh, A.P., & Gordon, G.J. (2008). Relational learning via collective matrix factorization. In Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, (pp. 650\u2013658).","DOI":"10.1145\/1401890.1401969"},{"issue":"3","key":"514_CR31","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/s10844-017-0469-0","volume":"50","author":"TNT Tran","year":"2017","unstructured":"Tran, T.N.T., Atas, M., Felfernig, A., Stettinger, M. (2017). An overview of recommender systems in the healthy food domain. Journal of Intelligent Information Systems, 50(3), 501\u2013526.","journal-title":"Journal of Intelligent Information Systems"},{"key":"514_CR32","doi-asserted-by":"crossref","unstructured":"Xiong, L., Chen, X., Huang, T.K., Schneider, J.G., Carbonell, J.G. (2010). Temporal collaborative filtering with bayesian probabilistic tensor factorization. In Proceedings of the 2010 SIAM international conference on data mining (pp. 211\u2013222).","DOI":"10.1137\/1.9781611972801.19"},{"key":"514_CR33","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Jin, X., Li, L., Ding, G., Yang, Q. (2016). Multi-domain active learning for recommendation. In Proceedings of the thirtieth AAAI conference on artificial intelligence, AAAI\u201916 (pp. 2358\u20132364).","DOI":"10.1609\/aaai.v30i1.10291"},{"issue":"1","key":"514_CR34","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1145\/1889681.1889683","volume":"2","author":"Y Zheng","year":"2011","unstructured":"Zheng, Y., & Xie, X. (2011). Learning travel recommendations from user-generated GPS traces. ACM Transactions on Intelligent Systems and Technology, 2(1), 2.","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"key":"514_CR35","unstructured":"Zheng, Y., Burke, R., Mobasher, B. (2012a). Optimal feature selection for context-aware recommendation using differential relaxation. In Proceedings of the sixth ACM conference on Recommender systems, RecSys\u201912 (p. 12)."},{"key":"514_CR36","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Burke, R., Mobasher, B. (2012b). Differential context relaxation for context-aware travel recommendation. In International Conference on Electronic Commerce and Web Technologies (pp. 88\u201399).","DOI":"10.1007\/978-3-642-32273-0_8"},{"key":"514_CR37","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Burke, R., Mobasher, B. (2013). Recommendation with differential context weighting. In International conference on user modeling, adaptation, and personalization, UMAP\u201913 (pp. 152\u2013164).","DOI":"10.1007\/978-3-642-38844-6_13"},{"key":"514_CR38","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Mobasher, B., Burke, R. (2014). Deviation-based contextual SLIM recommender. In Proceedings of the 23rd ACM international conference on conference on information and knowledge management, CIKM\u201914 (pp. 271\u2013280).","DOI":"10.1145\/2661829.2661987"},{"key":"514_CR39","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Mobasher, B., Burke, R. (2015a). Integrating context similarity with sparse linear recommendation model. In International conference on user modeling, adaptation, and personalization, UMAP\u201915 (pp. 370\u2013376).","DOI":"10.1007\/978-3-319-20267-9_33"},{"key":"514_CR40","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Mobasher, B., Burke, R. (2015b). Carskit: a java-based context-aware recommendation engine. In Data mining workshop, ICDMW\u201915 (pp. 1668\u20131671).","DOI":"10.1109\/ICDMW.2015.222"}],"container-title":["Journal of Intelligent Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10844-018-0514-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10844-018-0514-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10844-018-0514-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T08:24:31Z","timestamp":1661502271000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10844-018-0514-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,25]]},"references-count":40,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,4]]}},"alternative-id":["514"],"URL":"https:\/\/doi.org\/10.1007\/s10844-018-0514-7","relation":{},"ISSN":["0925-9902","1573-7675"],"issn-type":[{"value":"0925-9902","type":"print"},{"value":"1573-7675","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,25]]},"assertion":[{"value":"25 July 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 June 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 June 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 June 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}